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Optimization based QoS aware routing algorithm in MANET

机译:MANET中基于优化的QoS感知路由算法

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摘要

Due to dynamic nature of MANET, the Quality of Service (QoS) based Routing is a difficult but essential task to achieve. With larger network size, this problem becomes NP-hard. Therefore, the meta heuristics are best suitable for solving this type of problems. Efforts have been made by incorporating the existing On-demand AODV routing Protocol with meta-heuristics based approaches in the direction of improving QoS routing, but could not focus on the impacts of scalability and mobility jointly. Thus, a novel Swarm intelligence algorithm inspired by the hunting behavior of the Seals has been proposed in this paper. The algorithm computes the optimal path on the basis of multiple metrics such as residual energy, hop count and routing load and overcomes the limitations of the existing algorithms. Simulation results show that the proposed SEAL-AODV algorithm improves the conventional AODV routing protocol based on the QoS metrics such as networks throughput and end-to-end delay as compared to existing meta-heuristics based routing algorithm.
机译:由于MANET的动态特性,基于服务质量(QoS)的路由是一项困难但必不可少的任务。随着网络规模的扩大,这个问题变得难以解决。因此,元启发式方法最适合解决此类问题。通过将现有的按需AODV路由协议与基于元启发式的方法相结合,已朝着改善QoS路由的方向做出了努力,但未能共同关注可伸缩性和移动性的影响。因此,本文提出了一种新的基于海豹猎杀行为的群体智能算法。该算法基于多个度量(例如剩余能量,跳数和路由负载)计算最佳路径,并克服了现有算法的局限性。仿真结果表明,与现有的基于元启发式算法的路由算法相比,所提出的SEAL-AODV算法改进了基于QoS指标的常规AODV路由协议,例如网络吞吐量和端到端时延。

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